YouTube Music announced on Wednesday that it is rolling out a new labeling system designed to make it clearer when songs were created with the help of generative artificial intelligence (AI). The labels are intended to help listeners identify tracks that used AI in composition, production, or vocal generation.
Where the labels appear
The AI designations will appear on the player page, and clicking a label will provide further details about the specific role AI played in the track's creation. YouTube said the same labels will also be visible in the main YouTube app.
Partner declarations and detection tools
YouTube said it worked with various music partners and deployed its own detection tools to identify AI-generated music. According to YouTube's help page, partners can disclose generative AI usage with one of three designations: "Fully Gen AI," "Partly Gen AI," or "No Gen AI."
- "Fully Gen AI" applies to tracks that are entirely generated by AI.
- "Partly Gen AI" applies where artists have included AI-generated components but also added live elements.
- "No Gen AI" covers cases such as edits made with pitch-correction tools like Auto-Tune, which YouTube does not classify as generative AI work.
Industry context and different approaches
The rollout comes amid rapid growth in AI-generated music across streaming services, and platforms are adopting different strategies. Apple Music plans to introduce "Made With AI" labels as part of its AI Transparency Tags later this year. Spotify also uses AI labels and has implemented a music spam filter.
Deezer reported in July that it was receiving nearly 90,000 fully AI-generated tracks per day. The company labels detected AI-generated music, excludes those tracks from algorithmic recommendations and editorial playlists, and withholds royalties from fraudulent streams. Deezer is also developing an option to let users filter out AI-generated music.
TIDAL similarly labels recordings it identifies as entirely AI-generated, allows listeners to disable them, and excludes those recordings from royalty attribution.
YouTube's stance: disclosure rather than blanket bans
Unlike services that restrict detected AI tracks, YouTube is focusing on disclosure. Its labels are meant to inform listeners about AI’s role in a recording, but AI involvement alone does not make a track ineligible for monetization. YouTube is also experimenting with AI-powered music creation, including the Dream Track tool, which lets select creators generate soundtracks featuring AI-generated versions of participating artists' voices.
Why this matters
The new labeling increases transparency for listeners and gives creators and rights holders clearer information about how a track was produced. At the same time, the differing policies across platforms show the industry is still defining the balance between transparency, protection, and creative experimentation when dealing with generative AI in music.
